Remote Data Engineer II - Scalable ETL & Data Pipelines

itD Tech; United States; Hybrid; USD 100,000 - 140,000; Full time

Job summary

itD is seeking a Data Engineer II to design, build, and optimize high-complexity data pipelines and monitoring systems supporting critical legal and eDiscovery infrastructure. The role focuses on scalable ETL workflows, alerting, and cross-functional collaboration with legal, data science, and engineering teams to deliver secure data solutions.

Remote work with a California preference; Bay Area candidates are strongly preferred, occasional onsite in San Francisco may be required.

Qualifications

• 3+ years of experience in data engineering
• Strong proficiency in SQL (Presto, Postgres, MySQL, or equivalent)
• Strong proficiency in Python
• Experience building and maintaining ETL pipelines
• Hands-on experience with workflow orchestration tools (e.g., Airflow or equivalent)
• Experience working in cross-functional environments with multiple stakeholders
• Strong communication skills with ability to work across technical and non-technical teams

Responsibilities

• Design, build, and maintain scalable ETL pipelines for processing large and complex datasets
• Develop monitoring and alerting systems to ensure data accuracy, reliability, and availability
• Collaborate with attorneys, data scientists, and cross-functional teams to gather requirements and deliver data solutions
• Lead or contribute to end-to-end data engineering initiatives across multiple stakeholders
• Optimize query performance and data workflows across large-scale data environments
• Create documentation, system design plans, and deployment strategies
• Ensure adherence to data privacy, security, and compliance standards

Skills

Data engineering

SQL

Python

ETL pipelines

Workflow orchestration

Cross-functional collaboration

Communication skills

Education

Bachelor’s degree in Computer Science or related field

Tools

Airflow

Job description

itD is seeking a Data Engineer II to design, build, and optimize high-complexity data pipelines and monitoring systems supporting critical legal and eDiscovery infrastructure. The role focuses on scalable ETL workflows, alerting, and cross-functional collaboration with legal, data science, and engineering teams to deliver secure data solutions.

Remote work with a California preference; Bay Area candidates are strongly preferred, occasional onsite in San Francisco may be required.